Trade-offs between machine learning and deep learning for mental illness detection on social media

Abstract Social media platforms provide valuable insights into mental health trends by capturing user-generated discussions on conditions such as depression, anxiety, and suicidal ideation. Machine learning (ML) and deep learning (DL) models have been increasingly applied to classify mental health c...

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Bibliographic Details
Main Authors:	Zhanyi Ding, Zhongyan Wang, Yeyubei Zhang, Yuchen Cao, Yunchong Liu, Xiaorui Shen, Yexin Tian, Jianglai Dai
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-04-01
Series:	Scientific Reports
Subjects:	Machine learning Deep learning Mental health detection Social media Natural language processing Model interpretability
Online Access:	https://doi.org/10.1038/s41598-025-99167-6
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Trade-offs between machine learning and deep learning for mental illness detection on social media

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